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Senior Data Scientist, Sales Analytics Engineering

SpringCube

Full time - Senior Engineer

Fintech

Singapore, All Areas

Published 2 weeks ago

Salary: Disclosed upon interview

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Company Overview
A global financial technology company provides a unified payments and financial platform for businesses worldwide. With proprietary infrastructure and software, the organization empowers over 200,000 companies—including Brex, Rippling, Navan, Qantas, and SHEIN—to manage business accounts, payments, spend management, treasury, and embedded finance at scale. Founded in Melbourne, the company employs over 2,000 tech professionals across 26 offices globally and is valued at US$8 billion, backed by leading investors such as T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital.

About the Role
The Senior Data Scientist in Sales Analytics Engineering will partner with Product, Growth, and Commercial teams to develop next-generation data science solutions that accelerate revenue growth, enhance commercial efficiency, and improve data-driven decision-making. This role is ideal for someone who takes ownership from day one, applies analytical rigor, and leverages AI to translate insights into scalable models and data foundations.

Responsibilities

  • Translate complex statistical and modeling results into actionable insights for cross-functional teams and executive audiences
  • Conduct proactive analyses to identify revenue levers, emerging trends, and root causes of changes in key GTM metrics
  • Operationalize insights into repeatable workflows, automated pipelines, and scalable data science operating models
  • Build and maintain revenue forecasting and performance insights, including pipeline health, conversion and retention drivers, and scenario planning
  • Apply advanced causal inference methods (e.g., DiD, synthetic control, DoubleML) to inform decisions when experiments are infeasible
  • Design and deploy AI-enabled solutions across the sales and customer lifecycle to improve sales effectiveness and drive customer retention and expansion

Minimum Qualifications

  • 5+ years of industry experience with an advanced degree (MS or PhD) in a quantitative field (Statistics, Computer Science, Engineering, Economics, or related discipline)
  • Strong analytical intuition and structured problem-solving skills
  • Excellent communication and storytelling abilities to translate technical work into actionable recommendations for technical and non-technical stakeholders
  • Deep curiosity about GTM performance and customer behavior, focusing on understanding “why” outcomes occur
  • Strong foundations in causal inference and forecasting, with practical experience applying methods such as DiD, synthetic control, and modern ML approaches
  • High proficiency in SQL, Python, and/or R for analysis, modeling, and automation

Preferred Qualifications

  • Experience with Databricks or similar cloud data platforms/warehouses
  • Familiarity with Hex or other notebook-based analysis tools
  • Experience in high-growth startups or B2B business models, including pipeline, CRM, and RevOps data

Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in Singapore.

1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
2. No Client Relationship: This company is not a client of SpringCube unless stated.
3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
4. No Liability: SpringCube is not liable for inaccuracies.

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